A Comparative Study Using Discriminant Analysis on a Questionnaire Survey Regarding Project Managers' Cognition and Team Characteristics

被引：1

作者：

Masuda, Ayako ^{[1
]}

Matsuodani, Tohru ^{[2
]}

Tsuda, Kazuhiko ^{[3
]}

机构：

[1] FeliCa Networks Inc, Corp Strategy Dept, Project Promot Sec, Tokyo, Japan

[2] Debug Engn Res Lab, Tokyo, Japan

[3] Univ Tsukuba, Grad Sch Business Sci, Tokyo, Japan

来源：

2017 IEEE 41ST ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2 | 2017年

关键词：

software development; project; team condition; machine learning; discriminant analysis; questionnaire survey;

D O I：

10.1109/COMPSAC.2017.11

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The purpose of this study is to create a model of a relationship in which the dependent variable is the result of a project and the independent variables are the characteristics of human resources. We attempted a comparative evaluation of discriminant analyses with a statistical model and a machine learning model using assessments of the results of projects and team characteristics derived from questionnaire survey data. The results of the evaluation demonstrate that the machine learning model shows a higher discrimination rate within the range of the data used in the analysis, but it became clear that the discrimination rate worsens in comparison with the statistical model when extrapolated.

引用

页码：643 / 648

页数：6

共 34 条

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